Chapter1: Introduction to Meta-Heuristic Optimization Algorithms.- Chapter2: Introduction to Multi-Objective Optimization and Decision Making Analysis.- Chapter3: Music-Inspired Optimization Algorithms: From Past to Present.- Chapter4: Advances in Music-Inspired Optimization Algorithms.- Chapter5: Power Systems Operation.- Chapter6: Power Systems Planning.- Chapter7: Power Quality Planning.
Автор: Provas Kumar Roy, Susanta Dutta Название: Optimal Power Flow Using Evolutionary Algorithms ISBN: 1522569715 ISBN-13(EAN): 9781522569718 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 28136.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Provides research exploring the theoretical and practical aspects of optimizing power system operation through advanced electronic power devices. This book features coverage on a broad range of topics such as hybridization algorithm, power system modeling, and transmission systems.
Автор: Kumar, L. Ashok (psg College Of Technology, Coimbatore, India) Sundaram, K. Mohana (department Of Electrical And Electronics Engineering, Kpr Institut Название: Optimal power flow using facts devices ISBN: 0367565722 ISBN-13(EAN): 9780367565725 Издательство: Taylor&Francis Рейтинг: Цена: 17609.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The objective of this book is to develop intelligent algorithms for analysing optimal power flow (OPF) and to enhance the power transfer capability of the transmission line with reduced congestion. This book describes the various problems associated with power system operation and controls including soft computing metaheuristics algorithms.
Описание: With the widespread adoption of photovoltaic (PV) systems across the world, many researchers, industry players, and regulators have been exploring the use of reactive power from PV to support the grid.
Mathematical Models and Algorithms for Power System Optimization helps readers build a thorough understanding of new technologies and world-class practices developed by the State Grid Corporation of China, the organization responsible for the world's largest power distribution network. This reference covers three areas: power operation planning, electric grid investment and operational planning and power system control. It introduces economic dispatching, generator maintenance scheduling, power flow, optimal load flow, reactive power planning, load frequency control and transient stability, using mathematic models including optimization, dynamic, differential and difference equations.
Provides insights on the development of new mathematical models of power system optimization
Analyzes power systems comprehensively to create novel mathematic models and algorithms for issues related to the planning operation of power systems
Includes research on the optimization of power systems and related practical research projects carried out since 1981
Автор: Yu Wang; Shiwen Mao; R. Mark Nelms Название: Online Algorithms for Optimal Energy Distribution in Microgrids ISBN: 3319171321 ISBN-13(EAN): 9783319171326 Издательство: Springer Рейтинг: Цена: 9794.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Introduction.- System model and problem formulation.- Online and offline algorithms.- Distributed online algorithm.- Communication protocols.- Future work and open problems.
Автор: Mrinmoy Majumder; Soumya Ghosh Название: Decision Making Algorithms for Hydro-Power Plant Location ISBN: 9814451622 ISBN-13(EAN): 9789814451628 Издательство: Springer Рейтинг: Цена: 6986.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The present study has attempted to apply the advantage of neuro-genetic algorithms for optimal decision making in maximum utilization of natural resources. That is why the present study tries to utilize nature based algorithms to solve the problems of location selection for hydropower plants.
Описание: This book is the first systematic exposition on the emerging domain of wireless power transfer in ad hoc communication networks. It selectively spans a coherent, large spectrum of fundamental aspects of wireless power transfer, such as mobility management in the network, combined wireless power and information transfer, energy flow among network devices, joint activities with wireless power transfer (routing, data gathering and solar energy harvesting), and safety provisioning through electromagnetic radiation control, as well as fundamental and novel circuits and technologies enabling the wide application of wireless powering. Comprising a total of 27 chapters, contributed by leading experts, the content is organized into six thematic sections: technologies, communication, mobility, energy flow, joint operations, and electromagnetic radiation awareness. It will be valuable for researchers, engineers, educators, and students, and it may also be used as a supplement to academic courses on algorithmic applications, wireless protocols, distributed computing, and networking.
Автор: Mohammad Kiani-Moghaddam; Mojtaba Shivaie; Philip Название: Modern Music-Inspired Optimization Algorithms for Electric Power Systems ISBN: 3030120430 ISBN-13(EAN): 9783030120436 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
In today’s world, with an increase in the breadth and scope of real-world engineering optimization problems as well as with the advent of big data, improving the performance and efficiency of algorithms for solving such problems has become an indispensable need for specialists and researchers. In contrast to conventional books in the field that employ traditional single-stage computational, single-dimensional, and single-homogeneous optimization algorithms, this book addresses multiple newfound architectures for meta-heuristic music-inspired optimization algorithms. These proposed algorithms, with multi-stage computational, multi-dimensional, and multi-inhomogeneous structures, bring about a new direction in the architecture of meta-heuristic algorithms for solving complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data. The architectures of these new algorithms may also be appropriate for finding an optimal solution or a Pareto-optimal solution set with higher accuracy and speed in comparison to other optimization algorithms, when feasible regions of the solution space and/or dimensions of the optimization problem increase.
This book, unlike conventional books on power systems problems that only consider simple and impractical models, deals with complicated, techno-economic, real-world, large-scale models of power systems operation and planning. Innovative applicable ideas in these models make this book a precious resource for specialists and researchers with a background in power systems operation and planning.
Provides an understanding of the optimization problems and algorithms, particularly meta-heuristic optimization algorithms, found in fields such as engineering, economics, management, and operations research;Enhances existing architectures and develops innovative architectures for meta-heuristic music-inspired optimization algorithms in order to deal with complicated, real-world, large-scale, non-convex, non-smooth engineering optimization problems having a non-linear, mixed-integer nature with big data;Addresses innovative multi-level, techno-economic, real-world, large-scale, computational-logical frameworks for power systems operation and planning, and illustrates practical training on implementation of the frameworks using the meta-heuristic music-inspired optimization algorithms.
Автор: Erik Cuevas; Emilio Barocio Espejo; Arturo Conde E Название: Metaheuristics Algorithms in Power Systems ISBN: 3030115925 ISBN-13(EAN): 9783030115920 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book discusses the use of efficient metaheuristic algorithms to solve diverse power system problems, providing an overview of the various aspects of metaheuristic methods to enable readers to gain a comprehensive understanding of the field and of conducting studies on specific metaheuristic algorithms related to power-system applications. By bridging the gap between recent metaheuristic techniques and novel power system methods that benefit from the convenience of metaheuristic methods, it offers power system practitioners who are not metaheuristic computation researchers insights into the techniques, which go beyond simple theoretical tools and have been adapted to solve important problems that commonly arise. On the other hand, members of the metaheuristic computation community learn how power engineering problems can be translated into optimization tasks, and it is also of interest to engineers and application developers. Further, since each chapter can be read independently, the relevant information can be quickly found. Power systems is a multidisciplinary field that addresses the multiple approaches used for design and analysis in areas ranging from signal processing, and electronics to computational intelligence, including the current trend of metaheuristic computation.
WPT Technologies.- Mobile Chargers.- Joint Design of Wireless Charging with Sensing Applications.- Energy Flow Among Chargers, Multihop and Collaborative Charging.- Placement.- Mobile Nodes.- MAC Layer.- Throughput.- Safety Issues.
